EconPapers    
Economics at your fingertips  
 

Interview Methods in Construction and Demolition Research: Based on Case Study and Recommended Best Practices

Zhikun Ding, Xinrui Wang (), Jian Zuo, Patrick X. W. Zou and Lili Yuan
Additional contact information
Zhikun Ding: Shenzhen University
Xinrui Wang: Shenzhen University
Jian Zuo: The University of Adelaide
Patrick X. W. Zou: Changan University
Lili Yuan: Shenzhen University

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 57-73 from Springer

Abstract: Abstract Interview holds a prominent place among qualitative research methods, and it has been widely used in construction and demolition waste management research. Based on the literature review of interview-based related research, the status quo of interview applications is analyzed. Consequently, an interview guideline of interview-related methods is proposed according to the ratio between the number of interviewers and interviewees for effective implementation of interview methods. This paper classifies interview methods into four scenarios: Type I (one to one, 1:1), Type II (one to many, 1: n), Type III (many to one, m:1), and Type IV (many to many, m:n). Through a series of case studies, the application of the guide is demonstrated, and the corresponding best practices are summarized. Overall, this paper provides references for researchers to select the most appropriate interview method in construction and demolition waste research, and manage the interview process effectively.

Keywords: interview; research method; construction and demolition waste management (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-99-3626-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9789819936267

DOI: 10.1007/978-981-99-3626-7_5

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnopch:978-981-99-3626-7_5